issue-workflow - SKILL.md Agent Skill

name: issue-workflow description: Fetch a GitHub issue and run the full grooming → implementation → review → QA pipeline.

Issue Workflow

Config

The following values are injected via the orchestrator prompt — do not read any config file:

{TEMP_ROOT} = .ai
{REPO} = wp-media/imagify-plugin
{SLUG} = imagify
{E2E_URL} = http://localhost:8888
{E2E_BOOT} = bash bin/dev-start.sh

Repository: wp-media/imagify-plugin

When the user asks to work on an issue by number, such as:

/task 123
issue 123
#123

follow this workflow. The orchestrator runs inline in this conversation — read the user's opening message before kicking it off, since it uses that for escalation calibration (high autonomy / standard / high oversight).

Tooling

Use shell commands as the primary approach. The GitHub MCP (mcp_github_*) may be used if it is connected — but shell is always the safe fallback and is preferred for reliability.

Operation	Shell (primary)	GitHub MCP (if connected)
Issue fetch	`bash .claude/skills/issue-workflow/scripts/issue-sync.sh <N>`	`mcp_github_github_issue_read`
Branch creation	`bash .claude/skills/issue-workflow/scripts/make-issue-branch.sh`	—
Staging & committing	`git add` / `git commit`	—
Pushing	`git push -u origin <branch>`	—
PR creation	`gh pr create`	`mcp_github_github_create_pull_request`
CI monitoring	`gh pr checks <PR#>`	`mcp_github_github_pull_request_read`

Steps

Extract the issue number from the user's message.
Fetch the issue — run bash .claude/skills/issue-workflow/scripts/issue-sync.sh <N> (or use the MCP equivalent). Read the resulting file at .ai/issues/<N>/issue.md.
Check for parent epics — if Parent Epic (GitHub) or Parent Epics (Task List) has entries, sync each parent with issue-sync.sh <epic-N> and read those files at .ai/issues/<epic-N>/issue.md for context.
Check if this is an Epic — if the issue has label epics, Issue Type EPIC, or has sub-issues listed, ask the user: "Work the epic as a whole, or a specific sub-issue?" If a sub-issue is chosen, sync it and proceed with the epic context in mind.
Determine base branch — default is origin/develop unless the user specified otherwise.
Invoke the orchestrator command inline (do not spawn it as a sub-agent — it runs in this conversation context so it can read the user's intent for escalation calibration):

Inputs: issue number N, issue file .ai/issues/<N>/issue.md, base branch

The orchestrator command manages everything from here: calibration → grooming → spec review → dispatch → implementation → lead review → push & PR → CI → QA → finalize. It spawns the specialist agents (grooming-agent, challenger, backend-agent, frontend-agent, release-agent, lead-reviewer, qa-engineer, ticket-writer) as isolated sub-agents, but the orchestrator itself stays inline so it can surface decisions back to the user naturally.

Track progress in context; an HTML log is written at .ai/issues/<N>/workflow-log.html only if the Podium plugin is enabled (see orchestrator Run log section).